An Integrative Framework Reveals Signaling-to-Transcription Events in Toll-like Receptor Signaling

Publication date: 27 June 2017
Source:Cell Reports, Volume 19, Issue 13
Author(s): Philipp Mertins, Dariusz Przybylski, Nir Yosef, Jana Qiao, Karl Clauser, Raktima Raychowdhury, Thomas M. Eisenhaure, Tanja Maritzen, Volker Haucke, Takashi Satoh, Shizuo Akira, Steven A. Carr, Aviv Regev, Nir Hacohen, Nicolas Chevrier
Building an integrated view of cellular responses to environmental cues remains a fundamental challenge due to the complexity of intracellular networks in mammalian cells. Here, we introduce an integrative biochemical and genetic framework to dissect signal transduction events using multiple data types and, in particular, to unify signaling and transcriptional networks. Using the Toll-like receptor (TLR) system as a model cellular response, we generate multifaceted datasets on physical, enzymatic, and functional interactions and integrate these data to reveal biochemical paths that connect TLR4 signaling to transcription. We define the roles of proximal TLR4 kinases, identify and functionally test two dozen candidate regulators, and demonstrate a role for Ap1ar (encoding the Gadkin protein) and its binding partner, Picalm, potentially linking vesicle transport with pro-inflammatory responses. Our study thus demonstrates how deciphering dynamic cellular responses by integrating datasets on various regulatory layers defines key components and higher-order logic underlying signaling-to-transcription pathways.

Graphical abstract

Teaser

Mertins et al. develop a systematic framework to unify the study of signaling and transcriptional regulatory networks. By integrating physical, enzymatic, and functional interaction data, they identify biochemical paths that connect Toll-like receptor (TLR) 4 signaling to transcription. Their analysis uncovers two dozen regulators in TLR signaling, including AP1AR and PICALM, which link vesicle transport to pro-inflammatory responses.


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